[PDF][PDF] MLT-DFKI at CLEF eHealth 2019: Multi-label Classification of ICD-10 Codes with BERT.
With the adoption of electronic health record (EHR) systems, hospitals and clinical institutes
have access to large amounts of heterogeneous patient data. Such data consists of …
have access to large amounts of heterogeneous patient data. Such data consists of …
[PDF][PDF] CLEF eHealth 2018 multilingual information extraction task overview: ICD10 coding of death certificates in French, Hungarian and Italian.
This paper reports on Task 1 of the 2018 CLEF eHealth evaluation lab which extended the
previous information extraction tasks of ShARe/CLEF eHealth evaluation labs. The task …
previous information extraction tasks of ShARe/CLEF eHealth evaluation labs. The task …
DiLBERT: Cheap embeddings for disease related medical NLP
Electronic Health Records include health-related information, among which there is text
mentioning health conditions and diagnoses. Usually, text is also coded using appropriate …
mentioning health conditions and diagnoses. Usually, text is also coded using appropriate …
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports
Background and objectives The 10th version of International Classification of Diseases (ICD-
10) codification system has been widely adopted by the health systems of many countries …
10) codification system has been widely adopted by the health systems of many countries …
Exploit multilingual language model at scale for ICD-10 clinical text classification
The automatic ICD-10 classification of medical documents is actually an unresolved issue,
despite its crucial importance. The existence of machine learning approaches de-voted to …
despite its crucial importance. The existence of machine learning approaches de-voted to …
[HTML][HTML] A cross-lingual approach to automatic ICD-10 coding of death certificates by exploring machine translation
Automatic ICD-10 coding is an unresolved challenge in terms of Machine Learning tasks.
Despite hospitals generating an enormous amount of clinical documents, data is …
Despite hospitals generating an enormous amount of clinical documents, data is …
Performance en classification de données textuelles des passages aux urgences des modèles BERT pour le français
G Chenais, H Touchais, M Avalos… - PFIA 2021-Journée …, 2021 - inria.hal.science
Les modèles de langue contextualisés basés sur l'architecture Transformer tels que BERT
(Bidirectional Encoder Representations from Transformers) ont atteint des performances …
(Bidirectional Encoder Representations from Transformers) ont atteint des performances …
Learning entity and relation representation for low-resource medical language processing
S Amin - 2024 - publikationen.sulb.uni-saarland.de
Recent advancements in natural language processing have led to growing interest in critical
domains such as legal, finance, and healthcare. In particular, medical language processing …
domains such as legal, finance, and healthcare. In particular, medical language processing …
[PDF][PDF] DiLBERT: Cheap Embeddings for Disease Related Medical NLP
V DELLA MEA - 2024 - air.uniud.it
ABSTRACT Electronic Health Records include health-related information, among which
there is text mentioning health conditions and diagnoses. Usually, text is also coded using …
there is text mentioning health conditions and diagnoses. Usually, text is also coded using …
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports
H Fabregat Marcos, A Duque Fernández… - 2021 - e-spacio.uned.es
Background and objectives: The 10th version of International Classification of Diseases (ICD-
10) codification system has been widely adopted by the health systems of many countries …
10) codification system has been widely adopted by the health systems of many countries …